Data Scientist Graduate (TikTok Shop EMEA DS) 2026 Start (BS/MS)

About the TeamThe Data Science team is a global, full-stack data team that plays an important role in empowering and driving the growth of TikTok Shop. Through impactful data insights and data products, the team focuses on areas such as metrics development, product, operation, algorithm improvement, data infrastructure, and data product development. The team enables informed decision-making and helps optimize the performance and effectiveness of TikTok Shop. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Online Assessment
Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment. Responsibilities:

1. Collaborate with Business operations, Product, Algorithms, Strategies and engineering teams to build data solutions for critical business problems, and find new opportunities for growth;
   
2. Conduct insightful analysis to drive business impact. Analyze data for trends and patterns, and interpret data with clear objectives in mind;
   
3. Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products;
   
4. Research and devise innovative statistical models, analytical experiments (A/B tests) for data analysis, and keep current with technical and industry developments;
   
5. Utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy;
   
6. Adopt AI in daily workstreams and building AI data solutions for automated and scalable analysis.
   
   Minimum Qualifications:
   
7. Bachelor degree or above, computer, statistics, mathematics and other related majors are preferred; English can be used as a working language;
   
8. Skilled in SQL , EXCEL, Python at least one scripting language, familiar with common data statistics and analysis methods;
   
9. Good communication skills, teamwork spirit and initiative;
   
10. Good logical thinking ability, business interpretation ability and fast learning ability;
    
11. Sensitive to numbers and passionate about data analysis. Preferred Qualifications:
    
12. Internship experience in Data Science/Data Analyst area.